Bibliographic record
Abstract
Employing sensory, visual, and poetic modes of inquiry, this piece explores relationships between pirate lore of Newfoundland, settler colonialism, and embodied experience. Situated in coastal communities known in history and folklore for harboring pirates, I use memory, fieldwork, and autoethnography to articulate fluid and unsettled aspects of the colonial project. Geographer and sociologist James Overton writing about the invention and commodification of Newfoundland culture two decades ago noted Memorial University of Newfoundland’s role in the region’s “cultural revival” while researchers engaged in community development initiatives. Such revived circuits of tangible or intangible heritage were often the product of (displaced or deterritorialized) intelligentsia. Portrayed as oppositional to dominant political forces, these contemporary pirates, plundered local culture through academic theories, and reconnected local identity with settler history and knowledge. The subsequent revived constructions of place in the work of tourist-oriented theater initiatives, literature, music, or restorations of the built environment reproduce the origins of settler culture for tourist consumption. While offering class-based critiques of the economic experience of settler life, they do not often interrogate the premises, mechanisms, and consequences of settler culture. The creative research underlying this poetic inquiry allows for critical associations to be made between settler tropes, their continued performance and re-performance, and the displacement and erasure of the region’s original peoples.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.014 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".